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data are needed to enhance our understanding of sources, pathways and impact of litter. Cefas is developing a visible light (VL) deep learning (DL) algorithm and collected a large 89 litter category
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, are crucial for modelling volcanic processes and are vital for understanding the transitions. Geophysical monitoring provides essential information to constrain these parameters and inform decision
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interventions. These insights may ultimately lead to the identification of new targets for the development of therapies for ageing and age-related disease. For more information please contact: rebecca.c.taylor
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Internship team. This project has been shortlisted for funding by the NRPDTP. Shortlisted applicants will be interviewed on 3,4 or 5 February 2026. Visit our website for further information on eligibility and
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the NRPDTP. Shortlisted applicants will be interviewed on 3,4 or 5 February 2026. Visit our website for further information on eligibility and how to apply: https://biodtp.norwichresearchpark.ac.uk/ . Entry
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. This project has been shortlisted for funding by the NRPDTP. Shortlisted applicants will be interviewed on 3,4 or 5 February 2026. Visit our website for further information on eligibility and how to apply: https
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. Visit our website for further information on eligibility and how to apply: https://biodtp.norwichresearchpark.ac.uk/ . Entry requirements At least UK equivalence Bachelors (Honours) 2:1. English
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the NRPDTP. Shortlisted applicants will be interviewed on 3,4 or 5 February 2026. Visit our website for further information on eligibility and how to apply: https://biodtp.norwichresearchpark.ac.uk/ . Entry
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the NRPDTP. Shortlisted applicants will be interviewed on 3,4 or 5 February 2026. Visit our website for further information on eligibility and how to apply: https://biodtp.norwichresearchpark.ac.uk/ . Entry
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the NRPDTP. Shortlisted applicants will be interviewed on 3,4 or 5 February 2026. Visit our website for further information on eligibility and how to apply: https://biodtp.norwichresearchpark.ac.uk/ . Entry